{"id":"W4415377968","doi":"10.22541/au.176106459.92797834/v1","title":"A Feasibility Assessment of the FDA Adverse Event Reporting System for the Detection of Cannabis-Related Safety Signals","year":2025,"lang":"en","type":"article","venue":"","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Food and drug administration; Adverse Event Reporting System; Adverse effect; Event (particle physics); Adverse drug event; Risk assessment; Patient safety","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2016749,0.0006494364,0.0005421586,0.004230312,0.001065232,0.003282957,0.002150354,0.001720453,0.001519508],"category_scores_gemma":[0.2968097,0.0004562281,0.001773505,0.002411779,0.001251018,0.003752439,0.002246515,0.001222587,0.000591221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002999577,"about_ca_system_score_gemma":0.005539873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003221722,"about_ca_topic_score_gemma":0.002084266,"domain_scores_codex":[0.8284917,0.104792,0.02337085,0.007993239,0.0331944,0.002157787],"domain_scores_gemma":[0.6147225,0.2062502,0.08352802,0.01944157,0.073423,0.002634602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002215837,0.0006778691,0.9201485,0.0006361733,0.0003273601,0.00009912693,0.001599724,0.001531126,0.001804288,0.001153062,0.001372492,0.06843452],"study_design_scores_gemma":[0.0002910959,0.006835228,0.9409422,0.0006716438,0.0005000361,0.0005965395,0.002834187,0.03019395,0.006170651,0.0007256119,0.01011962,0.0001192304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519174,0.001340637,0.02882068,0.002502362,0.0001989794,0.005206496,0.002905791,0.0002229299,0.006884833],"genre_scores_gemma":[0.9762307,0.0002296461,0.02008949,0.0003756744,0.00007872223,0.001549722,0.001202168,0.00001911798,0.0002247842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2016749,"threshold_uncertainty_score":0.984477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503303587597766,"score_gpt":0.3636903647414886,"score_spread":0.338657328865511,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}